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--- |
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language: |
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- en |
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- ja |
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tags: |
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- translation |
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- opus-mt-tc |
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license: cc-by-4.0 |
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model-index: |
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- name: opus-mt-tc-base-en-ja |
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results: |
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- task: |
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name: Translation eng-jpg |
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type: translation |
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args: eng-jpg |
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dataset: |
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name: tatoeba-test-v2021-08-07 |
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type: tatoeba_mt |
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args: eng-jpg |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 15.2 |
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--- |
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# Opus Tatoeba English-Japanese |
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*This model was obtained by running the script [convert_marian_to_pytorch.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/marian/convert_marian_to_pytorch.py) with the flag `-m eng-pol`. The original models were trained by [Jörg Tiedemann](https://blogs.helsinki.fi/tiedeman/) using the [MarianNMT](https://marian-nmt.github.io/) library. See all available `MarianMTModel` models on the profile of the [Helsinki NLP](https://huggingface.co/Helsinki-NLP) group.* |
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* dataset: opus+bt |
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* model: transformer-align |
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* source language(s): eng |
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* target language(s): jpn |
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* model: transformer-align |
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* pre-processing: normalization + SentencePiece (spm32k,spm32k) |
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* download: [opus+bt-2021-04-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.zip) |
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* test set translations: [opus+bt-2021-04-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.test.txt) |
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* test set scores: [opus+bt-2021-04-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-jpn/opus+bt-2021-04-10.eval.txt) |
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## Benchmarks |
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| testset | BLEU | chr-F | #sent | #words | BP | |
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|---------|-------|-------|-------|--------|----| |
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| Tatoeba-test.eng-jpn | 15.2 | 0.258 | 10000 | 99206 | 1.000 | |
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